2016 Biomax Symposium: Bringing Big and Complex Data into Clinical Practice

Biomax Informatics AG24 June 2016, Martinsried, Germany.
Biomax announces the 2016 Biomax Symposium on "Bringing Big and Complex Data into Clinical Practice" that will take place in Martinsried (near Munich), Germany. This year's Biomax Symposium focuses on how clinical practice and patient treatment can benefit from big and complex data. It will cover the challenges and requirements that need to be addressed in a clinical setting: from gathering big data, guaranteeing data security in daily practice and fostering feedback between complex clinical data and research, to learning from the data to make better treatment decisions. In a nutshell, the symposium will cover using big and complex data to treat the individual with the knowledge of all.

Biomax has hosted this biennial event since 2012 to facilitate the discussion between clinical management and practitioners, pharma, "Big Data" researchers, health insurance payers, public health and government representatives, funding providers, as well as patient representatives. Through the symposium Biomax hopes to share their own and other experiences in implementing such programs. Past symposia have been a popular forum for these important players to learn from each other and discuss the way forward.

Invited speakers and panel discussion participants are leaders from clinical research, healthcare organizations, international research projects and government. The opening session includes presentations by:

  • Prof. Dr. Emiel Wouters, Department of Respiratory Medicine, University Medical Centre, Maastricht
  • Henning Schneider, CIO at the University Medical Center Hamburg-Eppendorf
  • Prof. Dr. Hans-Werner Mewes, School of Life Sciences, Technische Universität München

The symposium is free of charge.

For further information and to register, please visit:
http://www.biomax.com/symposiums/biomax-symposium-2016/

About Biomax
Biomax Informatics AG is a leader in the development of computational solutions for the life sciences. Biomax provides the BioXM™ Knowledge Management Environment and other computational solutions, including the Viscovery® data-mining technology, for better decision making and knowledge management in biomarker identification, patient stratification and targeted medicine. They help customers generate value by integrating information from proprietary and public resources to enable a knowledge-based approach to developing innovative life science products. Biomax’s worldwide customer community includes medical clinics, research organizations and companies that are successful in drug discovery, diagnostics, fine chemicals, food and plant production and healthcare.

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...